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Effects of payer status on breast cancer survival: a retrospective study

Overview of attention for article published in BMC Cancer, April 2015
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Title
Effects of payer status on breast cancer survival: a retrospective study
Published in
BMC Cancer, April 2015
DOI 10.1186/s12885-015-1228-7
Pubmed ID
Authors

Runhua Shi, Hannah Taylor, Jerry McLarty, Lihong Liu, Glenn Mills, Gary Burton

Abstract

Breast cancer outcomes are influenced by multiple factors including access to care, and payer status is a recognized barrier to treatment access. To further define the influence of payer status on outcome, the National Cancer Data Base data from 1998-2006 was analyzed. Data was analyzed from 976,178 female patients diagnosed with breast cancer registered in the National Cancer Data Base. Overall survival was the primary outcome variable while payer status was the primary predictor variable. Secondary predictor variables included stage, age, race, Charlson Comorbidity index, income, education, distance travelled, cancer program, diagnosing/treating facility, and treatment delay. Multivariate Cox regression was used to investigate the effect of payer status on overall survival while adjusting for secondary predictive factors. Uninsured (28.68%) and Medicaid (28.0%) patients had a higher percentage of patients presenting with stage III and stage IV cancer at diagnosis. In multivariate analysis, after adjusting for secondary predictor variables, payer status was a statistically significant predictor of survival. Patients with private, unknown, or Medicare status showed a decreased risk of dying compared to uninsured, with a decrease of 36%, 22%, and 15% respectively. However, Medicaid patients had an increased risk of 11% compared to uninsured. The direct adjusted median overall survival was 14.92, 14.76, 14.56, 13.64, and 12.84 years for payer status of private, unknown, Medicare, uninsured, and Medicaid respectively. We observed that patients with no insurance or Medicaid were most likely to be diagnosed at stage III and IV. Payer status showed a statistically significant relationship with overall survival. This remained true after adjusting for other predictive factors. Patients with no insurance or Medicaid had higher mortality.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Ghana 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Master 8 13%
Student > Doctoral Student 7 11%
Other 5 8%
Student > Postgraduate 4 6%
Other 11 17%
Unknown 18 29%
Readers by discipline Count As %
Medicine and Dentistry 22 35%
Nursing and Health Professions 7 11%
Biochemistry, Genetics and Molecular Biology 2 3%
Psychology 2 3%
Engineering 2 3%
Other 6 10%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 April 2015.
All research outputs
#15,784,290
of 24,059,832 outputs
Outputs from BMC Cancer
#3,846
of 8,542 outputs
Outputs of similar age
#153,173
of 268,547 outputs
Outputs of similar age from BMC Cancer
#112
of 251 outputs
Altmetric has tracked 24,059,832 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,542 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.